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NXP Software Content Register

Package:                   evkimxrt1060_glow_pytorch_image_classification.zip
Outgoing License:          LA_OPT_NXP_Software License - Production Use, Section 2.3 applies
License Files:             COPYING: LA_OPT_NXP_Software License
Type of content:           Source code
Description and comments:  PyTorch and eIQ Glow sample application
Release Location:          NXP.com
Origin:                    NXP (proprietary)
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CIFAR-10 Test Set           Description: Uses 60,000 32x32 colored images in .png format instead of platform specific binary formats.                    
                            Author: Fast.ai
                            License: Apache-2.0
                            Format: .png images organized into class directories
                            Location: <root>/GlowCifar10/images
	  			      <root>/GlowCifar10/dataset-tuning
                            URL: https://course.fast.ai/datasets

PyTorch 	            Description: Open-Source Machine Learning software                        
                            Author: Facebook
                            Version: 1.9.0                                    
                            License: Open Source - BSD-3-Clause               
                            Format: Python Libraries                                              
                            Location: \<root>\torch\...
	  			      \<root>\torchvision\...
	  			      \<root>\torch\utils\data\dataloader.py                                  

ONNX	                    Description: ONNX is an open format built to represent machine learning models. It's a common file
                            format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers.
                            Author: Microsoft, Facebook and AWS
                            License: Apache-2.0
                            Format: Source Code
                            Location: <root>\Cifar10 Pytorch\Pytorch Models\
                            URL: https://github.com/onnx/onnx
                            
eIQ Glow Package 	    Description:  Glow can convert neural network models directly to machine code by using its Ahead-of-Time compilation model (AOT). NXP integrated optimized libraries for Arm Cortex M and Cadence HiFi4 DSP
                            Author: Facebook, NXP
                            License: Apache-2.0
                            Format: Source Code, Binary
                            Location: C:\NXP\Glow
                            URL: https://www.nxp.com/design/software/development-software/eiq-ml-development-environment/eiq-for-glow-neural-network-compiler:eIQ-Glow      

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